VAV变风量空调控制系统的仿真与节能算法研究

本文建立了变风量空调系统末端装置（VAVBOX）仿真系统及其控制对象区域（Zone）模型,并将模糊控制理论引入控制系统,结合目前使用最广泛的PID控制器,得到一种具有两种控制方式优良特性的模糊自适应PID控制器。控制系统以Zone内温度变化为主参考变量来研究分析模糊自适应PID控制算法的控制性能与节能效果。     

基于分布式控制系统(DCS)的变风量空调系统的设计

对变风量空调系统进行设计,将整个变风量空调控制系统设计划分为5个控制回路:房间温度控制、送风静压控制、送风温度控制、新风控制和室内正压控制.整个控制系统由以太网、BACnet、Modbus这3层网络组成.从控制器和上位组态软件的应用两方面详细介绍了变风量智能空调分布式控制系统,经过分析与比较上位机监测得到的试验结果,系...     

上海期货大厦变风量空调系统实际运行状况的分析与总结

该大厦采用变风量空调系统，对变风量空调系统新风供给的控制方式进行了分析。测试了大厦部分房间CO2浓度，比较了采用定送风温度与定回风温度两种控制方式的特点，讨论了吊顶回风、空调系统运行能耗等问题。     

地铁变风量空调风系统控制方法研究

对地铁站变风量空调风系统提出三种控制方法,即送回风温度控制法、优先控制水阀法和优先控制风机法。以武汉地铁2号线螃蟹甲站的空调系统作为模拟研究对象,建立了房间、风机、水阀、盘管和控制器等数学模型,以TRNSYS为仿真平台,搭建了地铁站变风量系统的模型,比较三种控制方法与定风量控制下系统在制冷季节的运行情况。模拟结果表明,送回风温度控制法能较好地控制室内温度,且在适当的出风温度设定值下,功耗能达到最小。在不考虑送风结露和考虑送风结露的情况下,节能率分别达到67.0%和55.9%。     

变风量空调机组送风温度系统建模与控制研究

以变风量空调机组送风温度控制系统为对象,采用阶跃响应经验辨识方法建立了冷水阀开度-送风温度系统数学模型。针对该温度控制系统的纯延时特征,提出采用数字式PID Smith预测控制算法改进控制质量,给出了该算法的流程图。应用Matlab对系统进行了仿真研究,结果表明该系统具有较强的鲁棒性。     

多区域变风量空调系统优化控制研究

变风量系统由于其可观的节能效果在大型商务建筑中得到日益广泛的应用。应用日见广泛的直接数字控制器及集成楼宇控制系统(BMS)大大地提高了空调系统的检测及监控,这也为空调系统在系统层次上的优化控制奠定了基础。本文提出了变风量系统的送风静压和送风温度优化控制方法以及多区域新风量优化控制方法。这些控制方案及控制程序在VAV空调系统的动态仿真平台上进行测试以评估它们的动态控制性能、节能及空气品质特性。     

变风量空调系统设计浅谈

1概述变风量(Variable AirVolum e)空调系统产生于20世纪60年代的美国,如今已成为美国空调的主流。我国在70年代开始研究VAV系统的开发和应用,目前有继续推广的趋势。变风量空调系统是指根据空调区域的负荷变化,自动调节送风量以维持室内温、湿度的一种空调系统。该系统通过变风量末端设备,调节送入房间的风量或新回风混合比,并相应调节空调机组(AH U)的风量或新回风混合比来控制某一空调区域温度,以满足室内人员的舒适要求或其他工艺要求。同时根据实际送风量自动调节送风机的转速,可以大幅度减少风机的运行能耗。变风量空调有仅供冷、…     

变风量空调系统与产品

变风量（VAV-Variable Air Volume）系统是通过改变送风量而不是送风温度来调节和控制某一空调区域温度的一种空调系统，较全空气定风系统及新风加风机盘管系统先进。20世纪60年代，变风量系统产生于美国，20世纪90年代末进入中国大陆并逐步流行。变风量系统的末端设备结构较为复杂，系统整体性控制要求较高，但由于其具有的节能、空气品质好、适应使用空间变更等优点，在国内各类建筑中的应用正逐渐攀升。     

变风量空调系统的建模与控制

介绍了变风量空调系统的基本原理。结合变风量空调系统的特点,在基于被控房间数学模型的基础上,将模糊控制和常规PID控制相结合,提出了一种模糊PID控制方法并将其应用于变风量空调室温控制中。     

试论中央空调系统动态运行节能优化

风机控制是中央空调系统调节和节能的重要环节,本文建立了定风量和变风量方式下的数学模型,设计风机的模糊PID控制策略,并进行仿真比较,结果表明,变风量送风方式的控制响应速度更快更精确,能有效节省风机运行时的能耗。     

变风量空调控制系统的建模与仿真

针对变风量(VAV)中央空调系统控制系统较复杂、在运行过程中所受干扰多,并且数学模型很难精确确定等特点。本文采用将两种控制方法相结合用于该空调控制系统中,即模糊控制与PID控制,并通过MATLAB仿真工具进行动态仿真,其结果表明模糊自适应整定PID控制比单纯的PID控制具有更快的动态响应、更小的超调,具有较强的鲁棒性;其送风量的大小更接近于实际负荷所需的送风量,节能和舒适效果明显。     

某汽车喷烘一体室空调机组控制策略

结合工程实例,从运行模式、温度控制、湿度控制、风量控制、保护控制五个方面讨论了汽车喷烘一体室的控制策略;当温湿度需要同时控制时,为了提高稳定性,利用控制焓值和含湿量的方式,间接控制温度和相对湿度;为了改善PID控制器的控制速度和精度,利用模糊控制原理,对PID控制器三个参数的预整定值进行动态修订;最终实现安全运行、精确控制、节能高效的目的.     

An expert system for the humidity and temperature control in HVAC systems using ANFIS and optimization with Fuzzy Modeling Approach

The aim of this study is to design a HVAC system which damper gap rates have been controlled by PID controller. One of the dampers was controlled by using the required temperature for the interested indoor volume while the other damper was controlled by using the required humidity for the same indoor volume. The realized system has a zone with variable flow-rate by considering the ambient temperature and humidity. In the authors’ previous theoretical work, PID parameters were theoretically obtained by using fuzzy sets for the same HVAC system. Optimization with Fuzzy Modeling Approach of PID parameters has been performed to maximize the performance of the system. The obtained PID parameters in the previous theoretical work were used in this study. Besides, the damper gap rates of a HVAC system with only one zone were predicted by using Artificial Neural Fuzzy Interface System (ANFIS) method. The input-output data sets of this system were first stored and then these data sets were used to obtain its intelligent model and control based on ANFIS. Efficiency of the developed ANFIS method was tested and a mean 99.98% recognition success was obtained. This paper shows that the values predicted with the ANFIS can be used to predict damper gap rate of HVAC system quite accurately. Therefore, faster and simpler solutions can be obtained based on ANFIS.     

模糊控制技术在大空间二次回风空调系统中的应用

介绍了模糊控制技术在一交响乐厅二次回风空调系统中的应用。针对该工程实际情况提出了完整的控制策略,设计了新风阀、二次回风阀和冷水阀的模糊控制器,以保证室内温湿度和空气质量达到设计要求。以建筑物集成管理系统为操作平台,在中央管理计算机上实现了各设定值的优化,由现场DDC完成闭环控制。     

Multivariable control of indoor air temperature and humidity in a direct expansion (DX) air conditioning (A/C) system

Controlling indoor humidity at an appropriate level is very important since this affects occupants' thermal comfort and indoor air quality (IAQ). The paper presents an investigation on developing a multi-input multi-output (MIMO) control strategy for simultaneously controlling the indoor air temperature and humidity by varying the speeds of both compressor and supply fan in an experimental DX A/C system. The MIMO-based controller was designed based on the linearized dynamic model of the experimental DX A/C system. The Linear Quadratic Gaussian (LQG) technique was used in designing the MIMO-based controller. The controllability tests with respect to both the disturbance rejection capability and the command following capability were carried out to assess the control performance of MIMO controller. The results of disturbance rejection capability test showed that the MIMO control strategy can effectively maintain the indoor air temperature and humidity to their respective settings after an unmeasured heat load disturbance was imposed by simultaneously varying speeds of both the compressor and the supply fan of the DX A/C system. Furthermore, in the command following capability test for indoor air temperature, the test results showed that the indoor air temperature can be controlled to its new setting while indoor humidity remained unchanged. Similar test results were also observed in the command following capability test for indoor humidity. Therefore, the MIMO controller developed can effectively control indoor air temperature and humidity simultaneously by varying compressor speed and supply fan speed of the DX A/C system. Compared to the previous related studies using conventional on–off control method or single-input single-output (SISO) control strategy, which can only effectively control either air temperature or relative humidity, the MIMO controller can simultaneously control the indoor air temperature and humidity with adequate control sensitivity and accuracy. The application of MIMO control strategy developed can be extended to other HVAC systems in the future to improve their operating performance and energy efficiency.     

Energy conservative building air conditioning system controlled and optimized using fuzzy-genetic algorithm

In this work, the combined effect of the energy conservative variable refrigerant volume (VRV) system and the variable air volume (VAV) system was experimentally investigated using genetic fuzzy optimization method that yielded better thermal comfort, indoor air quality (IAQ) requirements without compromising on the energy savings potential. The proposed system was tested using the demand controlled ventilation (DCV) combined with the economizer cycle ventilation (ECV) techniques and examined for a year-round building air conditioning (A/C) application. The supply air temperature (SAT) set points were varied under three distinct strategies and the optimal solutions obtained for the fuzzy systems designed resulted in an enhanced energy conservative potential. The test results of the proposed system were compared with the conventional fan coil A/C system. Based on the three strategies of the supply air temperature, the proposed system yielded an improved per day energy savings potential of 54% in summer and 61% in winter design conditions. Furthermore, for the strategies considered the proposed system achieved an annual energy conservative potential of 36% and exhibited more possible ways to achieve thermal comfort, IAQ and energy conservation.     

极限工况下泵控马达系统自适应模糊控制

泵控马达系统在高温下持续工作时,系统模型失配,采用常规PID控制器系统动态特性差升对该问题提出了采用自适应模糊PID控制来改善系统动态性能。分析了高温下系统特征参数和自适应莫糊PID控制器的设计方法。仿真结果表明,自适应模糊PID控制器较常规PID控制器具有更快的响应睁性和良好的动态特性,对模型失配表现出更强的适应性和鲁棒性。     

模糊PID控制在中央空调变风量系统中的应用

将模糊控制和普通PID控制相结合,提出了一种基于模糊控制规则的模糊PID控制器的设计方法,并将其应用于中央空调变风量系统的控制,实验表明,这种方法比普通的PID控制方法精度高、超调量减少,具有较强的鲁棒性。